Uses of Class
jsat.classifiers.CategoricalResults

Packages that use CategoricalResults

Package	Description
jsat.classifiers
jsat.classifiers.bayesian
jsat.classifiers.bayesian.graphicalmodel
jsat.classifiers.boosting
jsat.classifiers.calibration
jsat.classifiers.evaluation
jsat.classifiers.knn
jsat.classifiers.linear
jsat.classifiers.linear.kernelized
jsat.classifiers.neuralnetwork
jsat.classifiers.svm
jsat.classifiers.svm.extended
jsat.classifiers.trees
jsat.datatransform
jsat.lossfunctions
jsat.parameters
jsat.regression

Uses of CategoricalResults in jsat.classifiers

Methods in jsat.classifiers that return CategoricalResults

Modifier and Type	Method and Description
CategoricalResults	Rocchio.classify(DataPoint data)
CategoricalResults	RegressorToClassifier.classify(DataPoint data)
CategoricalResults	PriorClassifier.classify(DataPoint data)
CategoricalResults	OneVSOne.classify(DataPoint data)
CategoricalResults	OneVSAll.classify(DataPoint data)
CategoricalResults	MultinomialLogisticRegression.classify(DataPoint data)
CategoricalResults	MajorityVote.classify(DataPoint data)
CategoricalResults	DDAG.classify(DataPoint data)
CategoricalResults	Classifier.classify(DataPoint data) Performs classification on the given data point.
CategoricalResults	CategoricalResults.clone() Creates a deep clone of this
CategoricalResults[]	ClassificationModelEvaluation.getPredictions() If ClassificationModelEvaluation.keepPredictions(boolean) was set, this method will return the array storing the predictions made by the classifier during evaluation.

Constructors in jsat.classifiers with parameters of type CategoricalResults

Constructor and Description
PriorClassifier(CategoricalResults cr) Creates a new Prior Classifier that is given the results it should be returning

Uses of CategoricalResults in jsat.classifiers.bayesian

Methods in jsat.classifiers.bayesian that return CategoricalResults

Modifier and Type	Method and Description
CategoricalResults	ODE.classify(DataPoint data)
CategoricalResults	NaiveBayesUpdateable.classify(DataPoint data)
CategoricalResults	NaiveBayes.classify(DataPoint data)
CategoricalResults	MultinomialNaiveBayes.classify(DataPoint data)
CategoricalResults	ConditionalProbabilityTable.classify(DataPoint data)
CategoricalResults	BestClassDistribution.classify(DataPoint data)
CategoricalResults	AODE.classify(DataPoint data)

Uses of CategoricalResults in jsat.classifiers.bayesian.graphicalmodel

Methods in jsat.classifiers.bayesian.graphicalmodel that return CategoricalResults

Modifier and Type	Method and Description
CategoricalResults	DiscreteBayesNetwork.classify(DataPoint data)

Uses of CategoricalResults in jsat.classifiers.boosting

Methods in jsat.classifiers.boosting that return CategoricalResults

Modifier and Type	Method and Description
CategoricalResults	Wagging.classify(DataPoint data)
CategoricalResults	UpdatableStacking.classify(DataPoint data)
CategoricalResults	Stacking.classify(DataPoint data)
CategoricalResults	SAMME.classify(DataPoint data)
CategoricalResults	ModestAdaBoost.classify(DataPoint data)
CategoricalResults	LogitBoost.classify(DataPoint data)
CategoricalResults	EmphasisBoost.classify(DataPoint data)
CategoricalResults	Bagging.classify(DataPoint data)
CategoricalResults	ArcX4.classify(DataPoint data)
CategoricalResults	AdaBoostM1.classify(DataPoint data)

Uses of CategoricalResults in jsat.classifiers.calibration

Methods in jsat.classifiers.calibration that return CategoricalResults

Modifier and Type	Method and Description
CategoricalResults	PlattCalibration.classify(DataPoint data)
CategoricalResults	IsotonicCalibration.classify(DataPoint data)

Uses of CategoricalResults in jsat.classifiers.evaluation

Methods in jsat.classifiers.evaluation with parameters of type CategoricalResults

Modifier and Type	Method and Description
void	SimpleBinaryClassMetric.addResult(CategoricalResults prediction, int trueLabel, double weight)
void	LogLoss.addResult(CategoricalResults prediction, int trueLabel, double weight)
void	Kappa.addResult(CategoricalResults prediction, int trueLabel, double weight)
void	ClassificationScore.addResult(CategoricalResults prediction, int trueLabel, double weight) Adds the given result to the score
void	AUC.addResult(CategoricalResults prediction, int trueLabel, double weight)
void	Accuracy.addResult(CategoricalResults prediction, int trueLabel, double weight)

Uses of CategoricalResults in jsat.classifiers.knn

Methods in jsat.classifiers.knn that return CategoricalResults

Modifier and Type	Method and Description
CategoricalResults	NearestNeighbour.classify(DataPoint data)
CategoricalResults	LWL.classify(DataPoint data)
CategoricalResults	DANN.classify(DataPoint data)

Uses of CategoricalResults in jsat.classifiers.linear

Methods in jsat.classifiers.linear that return CategoricalResults

Modifier and Type	Method and Description
CategoricalResults	StochasticMultinomialLogisticRegression.classify(DataPoint data)
CategoricalResults	STGD.classify(DataPoint data)
CategoricalResults	SPA.classify(DataPoint data)
CategoricalResults	SMIDAS.classify(DataPoint data)
CategoricalResults	SCW.classify(DataPoint data)
CategoricalResults	SCD.classify(DataPoint data)
CategoricalResults	ROMMA.classify(DataPoint data)
CategoricalResults	PassiveAggressive.classify(DataPoint data)
CategoricalResults	NHERD.classify(DataPoint data)
CategoricalResults	NewGLMNET.classify(DataPoint data)
CategoricalResults	LogisticRegressionDCD.classify(DataPoint data)
CategoricalResults	LinearSGD.classify(DataPoint data)
CategoricalResults	LinearL1SCD.classify(DataPoint data)
CategoricalResults	LinearBatch.classify(DataPoint data)
CategoricalResults	BBR.classify(DataPoint data)
CategoricalResults	AROW.classify(DataPoint data)
CategoricalResults	ALMA2.classify(DataPoint data)
abstract CategoricalResults	StochasticSTLinearL1.Loss.classify(double a) The categorical results for a classification problem

Uses of CategoricalResults in jsat.classifiers.linear.kernelized

Methods in jsat.classifiers.linear.kernelized that return CategoricalResults

Modifier and Type	Method and Description
CategoricalResults	Projectron.classify(DataPoint data)
CategoricalResults	OSKL.classify(DataPoint data)
CategoricalResults	KernelSGD.classify(DataPoint data)
CategoricalResults	Forgetron.classify(DataPoint data)
CategoricalResults	DUOL.classify(DataPoint data)
CategoricalResults	CSKLRBatch.classify(DataPoint data)
CategoricalResults	CSKLR.classify(DataPoint data)
CategoricalResults	BOGD.classify(DataPoint data)
CategoricalResults	ALMA2K.classify(DataPoint data)

Uses of CategoricalResults in jsat.classifiers.neuralnetwork

Methods in jsat.classifiers.neuralnetwork that return CategoricalResults

Modifier and Type	Method and Description
CategoricalResults	SOM.classify(DataPoint data)
CategoricalResults	RBFNet.classify(DataPoint data)
CategoricalResults	Perceptron.classify(DataPoint data)
CategoricalResults	LVQLLC.classify(DataPoint data)
CategoricalResults	LVQ.classify(DataPoint data)
CategoricalResults	DReDNetSimple.classify(DataPoint data)
CategoricalResults	BackPropagationNet.classify(DataPoint data)

Uses of CategoricalResults in jsat.classifiers.svm

Methods in jsat.classifiers.svm that return CategoricalResults

Modifier and Type	Method and Description
CategoricalResults	SVMnoBias.classify(DataPoint data)
CategoricalResults	SBP.classify(DataPoint data)
CategoricalResults	PlattSMO.classify(DataPoint data)
CategoricalResults	PegasosK.classify(DataPoint data)
CategoricalResults	Pegasos.classify(DataPoint data)
CategoricalResults	LSSVM.classify(DataPoint data)
CategoricalResults	DCSVM.classify(DataPoint data)
CategoricalResults	DCDs.classify(DataPoint data)
CategoricalResults	DCD.classify(DataPoint data)

Uses of CategoricalResults in jsat.classifiers.svm.extended

Methods in jsat.classifiers.svm.extended that return CategoricalResults

Modifier and Type	Method and Description
CategoricalResults	OnlineAMM.classify(DataPoint data)
CategoricalResults	CPM.classify(DataPoint data)

Uses of CategoricalResults in jsat.classifiers.trees

Methods in jsat.classifiers.trees that return CategoricalResults

Modifier and Type	Method and Description
CategoricalResults	TreeNodeVisitor.classify(DataPoint dp)
CategoricalResults	RandomForest.classify(DataPoint data)
CategoricalResults	ID3.classify(DataPoint data)
CategoricalResults	ExtraTree.classify(DataPoint data)
CategoricalResults	ERTrees.classify(DataPoint data)
CategoricalResults	DecisionTree.classify(DataPoint data)
CategoricalResults	DecisionStump.classify(DataPoint data)
CategoricalResults	ImpurityScore.getResults() Obtains the current categorical results by prior probability
CategoricalResults	TreeNodeVisitor.localClassify(DataPoint dp) Returns the classification result that would have been obtained if the current node was a leaf node.
CategoricalResults	DecisionTree.Node.localClassify(DataPoint dp)
CategoricalResults	DecisionStump.result(int i) Returns the categorical result of the i'th path.

Uses of CategoricalResults in jsat.datatransform

Methods in jsat.datatransform that return CategoricalResults

Modifier and Type	Method and Description
CategoricalResults	DataModelPipeline.classify(DataPoint data)

Uses of CategoricalResults in jsat.lossfunctions

Methods in jsat.lossfunctions that return CategoricalResults

Modifier and Type	Method and Description
static CategoricalResults	LogisticLoss.classify(double score)
static CategoricalResults	HingeLoss.classify(double score)
CategoricalResults	LossC.getClassification(double score) Given the score value of a data point, this returns the classification results.
CategoricalResults	LogisticLoss.getClassification(double score)
CategoricalResults	HingeLoss.getClassification(double score)
CategoricalResults	SoftmaxLoss.getClassification(Vec processed)
CategoricalResults	LossMC.getClassification(Vec processed) Given the processed predictions, returns the classification results for said predictions.
CategoricalResults	HingeLoss.getClassification(Vec processed)

Uses of CategoricalResults in jsat.parameters

Methods in jsat.parameters that return CategoricalResults

Modifier and Type	Method and Description
CategoricalResults	ModelSearch.classify(DataPoint data)

Uses of CategoricalResults in jsat.regression

Methods in jsat.regression that return CategoricalResults

Modifier and Type	Method and Description
CategoricalResults	LogisticRegression.classify(DataPoint data)